BTLSC Seminar: “AI in Education: From Stochastic Parrots to Synergistic Partners”, Mutlu Çukurova, 4:00PM February 21 2025 (EN)

Due to adverse weather conditions, our guest’s flight was canceled. Therefore, the event has been canceled and rescheduled for a later date. Thank you for your understanding.
Olumsuz hava koşullarından dolayı misafirimizin uçuşu iptal oldu. Bu sebeple, etkinlik iptal edilip ilerleyen bir tarihe alındı. Anlayışınız için teşekkürler.


 

We invite you to the forthcoming “AI in Education: From Stochastic Parrots to Synergistic Partners” seminar by Prof. Dr. Mutlu Çukurova. The seminar is scheduled for the 21st of February, from 16:00-17:30 at C Block Amphi. We recommend bringing a laptop or tablet for the last part of the seminar. GE 250/251 points will be given.

Abstract: This talk explores the potential of artificial intelligence (AI) in education, focusing on its multifaceted conceptualisations as tools, cognitive models, and agents of human-AI hybrid intelligence. Highlighting recent advancements in generative AI, the talk critically examines its promise and limitations in supporting both student learning and teacher practices. While AI presents some opportunities for task automation and learning-enhancement, it also raises critical concerns regarding human agency, ethical considerations, and systemic inequalities in education. Drawing on decades of research in AI and education, the talk emphasises the need to move beyond narrow applications of AI for productivity gains. Instead, it advocates for AI systems that augment human competence, foster lifelong learning skills, and align with broader societal values. Using examples from his own work on multimodal learning analytics and human-centred AI, Prof. Cukurova underscores the importance of designing educational systems that embed AI within intentional, evidence-informed, and human-centred pedagogical frameworks.

Speaker: Mutlu Cukurova is a Professor of Learning and Artificial Intelligence at University College London. Prof. Cukurova investigates human-AI complementarity in education, aiming to address the pressing socio-educational challenge of preparing people for a future with AI systems that will require a great deal more than the routine cognitive skills currently prized by many education systems and traditional approaches to automation with AI. He directs the UCLAIT team and leads the Design and Use of AI in Education course at UCL. In addition, he is engaged in policy-making activities as an external expert (including UNESCO, IAEA, and EU external expert groups and co-authored the UNESCO AI Competency Framework for Teachers). He was the programme co-chair of the International Conference of AI in Education in 2020 and CSEDU in 2022, is part of UCL’s Grand Challenges on Transformative Technologies group, named in Stanford’s Top 2% Scientists List, Editor-in-Chief of the British Journal of Educational Technology and Associate Editor of the International Journal of Child-Computer Interaction.